AVP, Data Analyst (Visualization, Python)

Jefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a U.S.-headquartered global full service, integrated investment banking and securities firm. Our largest subsidiary, Jefferies LLC, a U.S. broker-dealer, was founded in the U.S. in 1962 and our first international operating subsidiary, Jefferies International Limited, a U.K. broker-dealer, was established in the U.K. in 1986. Our strategy focuses on continuing to build out our investment banking effort, enhancing our capital markets businesses and further developing our asset management platform. We offer deep sector expertise across a full range of products and services in investment banking, equities, fixed income, asset and wealth management in the Americas, Europe and the Middle East and Asia.

We are seeking a Data Analyst with a strong foundation in Data Science to help drive data-driven decision-making. The ideal candidate will have expertise in data analysis, statistical modeling, machine learning, and data visualization to extract actionable insights from complex datasets.

Key Responsibilities:

• Collect, clean, and preprocess data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Develop and implement predictive models and machine learning algorithms.
• Create data visualizations and dashboards to communicate insights effectively.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Ensure data integrity, security, and compliance with relevant regulations.
• Stay updated with the latest data science techniques and industry trends.

Required Skills & Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in Python, R, SQL
• Strong understanding of machine learning algorithms, statistical analysis, and data mining techniques.
• Excellent problem-solving skills and ability to translate business needs into data-driven solutions.
• Prior experience in Capital Markets is highly preferred.

Preferred Qualifications:

• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Knowledge of Natural Language Processing (NLP) and Time Series Analysis.
• Familiarity with ETL processes and data pipeline automation.
   

The salary range for this position is $100,000-$150,000

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